Snowflake Data Engineer - Clinical & Life Sciences

Role Overview: CloudLabs Inc, a global IT & Business consulting services company, is looking for a skilled individual to join their team as a Remote Data Engineer. As a part of the team, you will be responsible for building and automating end-to-end data pipelines using Python and Snowflake, extracting data from various clinical trial feeds, and ensuring strict data governance compliance with industry standards. Key Responsibilities: - Build and automate end-to-end data pipelines using Python and Snowflake, including Snowpark and Streams/Tasks, to ingest diverse clinical trial data feeds. - Design, develop, and maintain secure, scalable data pipelines extracting data from Veeva Safety/Vault APIs into Snowflake. - Design scalable data models in Snowflake supporting complex R&D queries aligned with industry standards like CDISC SDTM/ADaM. - Architect optimal Snowflake data models tailored for life sciences compliance and safety reporting. - Collaborate with R&D data scientists to prepare, clean, and optimize features for machine learning and statistical modeling. - Write and optimize complex SQL queries, stored procedures, and Snowpark/Python scripts for high-performance data processing. - Ensure strict data governance compliance with HIPAA, GxP, and clinical trial data privacy regulations. Qualification Required: - Minimum 5+ years of hands-on experience with Snowflake architecture, advanced SQL, Snowpipe, performance tuning, and query optimization. - Strong proficiency in Python, including pandas, API integrations, and Snowpark. - Deep understanding of clinical trial data structures, electronic data capture (EDC) systems, or clinical data management systems (CDMS). - Experience working with Veeva Vault APIs, Veeva Safety, or Veeva Vault Loader. - Familiarity with Life Sciences, specifically Pharmacovigilance (PV), drug safety, or GxP compliance data. - Familiarity with Snowpark Python or standard data schemas like CDISC. Role Overview: CloudLabs Inc, a global IT & Business consulting services company, is looking for a skilled individual to join their team as a Remote Data Engineer. As a part of the team, you will be responsible for building and automating end-to-end data pipelines using Python and Snowflake, extracting data from various clinical trial feeds, and ensuring strict data governance compliance with industry standards. Key Responsibilities: - Build and automate end-to-end data pipelines using Python and Snowflake, including Snowpark and Streams/Tasks, to ingest diverse clinical trial data feeds. - Design, develop, and maintain secure, scalable data pipelines extracting data from Veeva Safety/Vault APIs into Snowflake. - Design scalable data models in Snowflake supporting complex R&D queries aligned with industry standards like CDISC SDTM/ADaM. - Architect optimal Snowflake data models tailored for life sciences compliance and safety reporting. - Collaborate with R&D data scientists to prepare, clean, and optimize features for machine learning and statistical modeling. - Write and optimize complex SQL queries, stored procedures, and Snowpark/Python scripts for high-performance data processing. - Ensure strict data governance compliance with HIPAA, GxP, and clinical trial data privacy regulations. Qualification Required: - Minimum 5+ years of hands-on experience with Snowflake architecture, advanced SQL, Snowpipe, performance tuning, and query optimization. - Strong proficiency in Python, including pandas, API integrations, and Snowpark. - Deep understanding of clinical trial data structures, electronic data capture (EDC) systems, or clinical data management systems (CDMS). - Experience working with Veeva Vault APIs, Veeva Safety, or Veeva Vault Loader. - Familiarity with Life Sciences, specifically Pharmacovigilance (PV), drug safety, or GxP compliance data. - Familiarity with Snowpark Python or standard data schemas like CDISC.